Evaluation of Methods Handling Missing Diary Data for Statistical Analysis in Dry Eye Studies

Hui-Chun T. Hsu, Dale Usner, Richard Abelson
ARVO Annual Meeting, May 2013

There are several possible ways to handle missing diary data, each of which will result in a different statistical outcome. This poster details:

  • Various methods to impute missing data
  • Results comparing each method using simulated diary data
  • Recommendation on how to handle missing data in clinical trials

To access this poster, please complete the short form to the right.